/* createRef获取dom */
import React, { Component, createRef } from 'react'
/* 卡片 */
import { Card, Row, Col } from 'antd'
/* 引入echarts */
import * as echarts from 'echarts';
export default class DashBoard extends Component {
  constructor() {
    super();
    this.state = {
      /* chart为对象 初始化设置为null */
      chart: null
    }
    /* this.charDom 对象 {current: div} */
    this.chartDom = createRef();
    this.chartDom1 = createRef();
    this.chartDom2 = createRef();
    this.chartDom3 = createRef();
  }
  render() {
    return (
      <Card title="仪表盘">
        <Row gutter={10}>
          <Col span={12}>
            <div style={{ height: 500 }} ref={this.chartDom2}>内容</div>
          </Col>
          <Col span={12}>
            <div style={{ height: 500 }} ref={this.chartDom3}>内容</div>
          </Col>
        </Row>
        <Row gutter={10} >
          <Col span={12}>
            {/* 需要用外层容器包裹 设置的间距span值才会生效 实质上设置的是padding的值 
            且必须为容器设置高度 否则不会显示 */}
            <div style={{ marginTop: 15, height: 400 }} ref={this.chartDom}>内容</div>
          </Col>
          <Col span={12}>
            {/* ref挂载到dom上 */}
            <div style={{ marginTop: 15, height: 400 }} ref={this.chartDom1}>内容</div>
          </Col>
        </Row>
      </Card>
    )
  };
  /* 视图渲染完成时 */
  componentDidMount() {
    /* 调用实例方法 */
    this.initChart();
    this.initChartpie();
    this.initleida();
    this.initxian();
  };
  initChart = () => {
    // 基于准备好的dom，初始化echarts实例
    const chart = echarts.init(this.chartDom.current);
    // console.log(this.chartDom);
    /* 设置echarts */
    chart.setOption({
      title: {
        /* 标题 */
        text: 'echarts柱状图和折线图'
      },
      /* 鼠标移上时显示的信息 */
      tooltip: {},
      /* 设置颜色 */
      color: ["#fb9300", "#bb371a"],
      /* 分类 */
      xAxis: {
        data: ['衬衫', '羊毛衫', '雪纺衫', '裤子', '高跟鞋', '袜子']
      },
      yAxis: {},
      legend: {},
      series: [
        /* 系列 */
        {
          name: '销量',
          /* 柱状图 */
          type: 'bar',
          /* 数据 */
          data: [5, 20, 36, 10, 10, 20]
        },
        {
          name: '利润',
          /* 折线图 */
          type: 'line',
          /* 平滑过渡 */
          smooth: true,
          /* 数据 */
          data: [16, 30, 56, 27, 34, 23]
        }
      ]
    });
  }
  initChartpie = () => {
    // 基于准备好的dom，初始化echarts实例
    const chartpie = echarts.init(this.chartDom1.current);
    /* 设置echarts */
    chartpie.setOption({
      title: {
        text: 'ercharts',
        subtext: '饼状图',
        left: 'center'
      },
      tooltip: {
        trigger: 'item'
      },
      legend: {
        orient: 'vertical',
        left: 'left',
      },
      series: [
        {
          name: '访问来源',
          type: 'pie',
          radius: '50%',
          data: [
            { value: 1048, name: '搜索引擎' },
            { value: 735, name: '直接访问' },
            { value: 580, name: '邮件营销' },
            { value: 484, name: '联盟广告' },
            { value: 300, name: '视频广告' }
          ],
          emphasis: {
            itemStyle: {
              shadowBlur: 10,
              shadowOffsetX: 0,
              shadowColor: 'rgba(0, 0, 0, 0.5)'
            }
          }
        }
      ]
    });
  }
  initleida = () => {
    const chartleida = echarts.init(this.chartDom2.current);
    var lineStyle = {
      normal: {
        width: 1,
        opacity: 0.5
      }
    };
    var dataBJ = [
      [55, 9, 56, 0.46, 18, 6, 1],
      [25, 11, 21, 0.65, 34, 9, 2],
      [56, 7, 63, 0.3, 14, 5, 3],
      [33, 7, 29, 0.33, 16, 6, 4],
      [42, 24, 44, 0.76, 40, 16, 5],
      [82, 58, 90, 1.77, 68, 33, 6],
      [74, 49, 77, 1.46, 48, 27, 7],
      [78, 55, 80, 1.29, 59, 29, 8],
      [267, 216, 280, 4.8, 108, 64, 9],
      [185, 127, 216, 2.52, 61, 27, 10],
      [39, 19, 38, 0.57, 31, 15, 11],
      [41, 11, 40, 0.43, 21, 7, 12],
      [64, 38, 74, 1.04, 46, 22, 13],
      [108, 79, 120, 1.7, 75, 41, 14],
      [108, 63, 116, 1.48, 44, 26, 15],
      [33, 6, 29, 0.34, 13, 5, 16],
      [94, 66, 110, 1.54, 62, 31, 17],
      [186, 142, 192, 3.88, 93, 79, 18],
      [57, 31, 54, 0.96, 32, 14, 19],
      [22, 8, 17, 0.48, 23, 10, 20],
      [39, 15, 36, 0.61, 29, 13, 21],
      [94, 69, 114, 2.08, 73, 39, 22],
      [99, 73, 110, 2.43, 76, 48, 23],
      [31, 12, 30, 0.5, 32, 16, 24],
      [42, 27, 43, 1, 53, 22, 25],
      [154, 117, 157, 3.05, 92, 58, 26],
      [234, 185, 230, 4.09, 123, 69, 27],
      [160, 120, 186, 2.77, 91, 50, 28],
      [134, 96, 165, 2.76, 83, 41, 29],
      [52, 24, 60, 1.03, 50, 21, 30],
      [46, 5, 49, 0.28, 10, 6, 31]
    ];

    var dataGZ = [
      [26, 37, 27, 1.163, 27, 13, 1],
      [85, 62, 71, 1.195, 60, 8, 2],
      [78, 38, 74, 1.363, 37, 7, 3],
      [21, 21, 36, 0.634, 40, 9, 4],
      [41, 42, 46, 0.915, 81, 13, 5],
      [56, 52, 69, 1.067, 92, 16, 6],
      [64, 30, 28, 0.924, 51, 2, 7],
      [55, 48, 74, 1.236, 75, 26, 8],
      [76, 85, 113, 1.237, 114, 27, 9],
      [91, 81, 104, 1.041, 56, 40, 10],
      [84, 39, 60, 0.964, 25, 11, 11],
      [64, 51, 101, 0.862, 58, 23, 12],
      [70, 69, 120, 1.198, 65, 36, 13],
      [77, 105, 178, 2.549, 64, 16, 14],
      [109, 68, 87, 0.996, 74, 29, 15],
      [73, 68, 97, 0.905, 51, 34, 16],
      [54, 27, 47, 0.592, 53, 12, 17],
      [51, 61, 97, 0.811, 65, 19, 18],
      [91, 71, 121, 1.374, 43, 18, 19],
      [73, 102, 182, 2.787, 44, 19, 20],
      [73, 50, 76, 0.717, 31, 20, 21],
      [84, 94, 140, 2.238, 68, 18, 22],
      [93, 77, 104, 1.165, 53, 7, 23],
      [99, 130, 227, 3.97, 55, 15, 24],
      [146, 84, 139, 1.094, 40, 17, 25],
      [113, 108, 137, 1.481, 48, 15, 26],
      [81, 48, 62, 1.619, 26, 3, 27],
      [56, 48, 68, 1.336, 37, 9, 28],
      [82, 92, 174, 3.29, 0, 13, 29],
      [106, 116, 188, 3.628, 101, 16, 30],
      [118, 50, 0, 1.383, 76, 11, 31]
    ];

    var dataSH = [
      [91, 45, 125, 0.82, 34, 23, 1],
      [65, 27, 78, 0.86, 45, 29, 2],
      [83, 60, 84, 1.09, 73, 27, 3],
      [109, 81, 121, 1.28, 68, 51, 4],
      [106, 77, 114, 1.07, 55, 51, 5],
      [109, 81, 121, 1.28, 68, 51, 6],
      [106, 77, 114, 1.07, 55, 51, 7],
      [89, 65, 78, 0.86, 51, 26, 8],
      [53, 33, 47, 0.64, 50, 17, 9],
      [80, 55, 80, 1.01, 75, 24, 10],
      [117, 81, 124, 1.03, 45, 24, 11],
      [99, 71, 142, 1.1, 62, 42, 12],
      [95, 69, 130, 1.28, 74, 50, 13],
      [116, 87, 131, 1.47, 84, 40, 14],
      [108, 80, 121, 1.3, 85, 37, 15],
      [134, 83, 167, 1.16, 57, 43, 16],
      [79, 43, 107, 1.05, 59, 37, 17],
      [71, 46, 89, 0.86, 64, 25, 18],
      [97, 71, 113, 1.17, 88, 31, 19],
      [84, 57, 91, 0.85, 55, 31, 20],
      [87, 63, 101, 0.9, 56, 41, 21],
      [104, 77, 119, 1.09, 73, 48, 22],
      [87, 62, 100, 1, 72, 28, 23],
      [168, 128, 172, 1.49, 97, 56, 24],
      [65, 45, 51, 0.74, 39, 17, 25],
      [39, 24, 38, 0.61, 47, 17, 26],
      [39, 24, 39, 0.59, 50, 19, 27],
      [93, 68, 96, 1.05, 79, 29, 28],
      [188, 143, 197, 1.66, 99, 51, 29],
      [174, 131, 174, 1.55, 108, 50, 30],
      [187, 143, 201, 1.39, 89, 53, 31]
    ];
    chartleida.setOption({
      backgroundColor: '#161627',
      title: {
        text: 'AQI - 雷达图',
        left: 'center',
        textStyle: {
          color: '#eee'
        }
      },
      legend: {
        bottom: 5,
        data: ['北京', '上海', '广州'],
        itemGap: 20,
        textStyle: {
          color: '#fff',
          fontSize: 14
        },
        selectedMode: 'single'
      },
      // visualMap: {
      //     show: true,
      //     min: 0,
      //     max: 20,
      //     dimension: 6,
      //     inRange: {
      //         colorLightness: [0.5, 0.8]
      //     }
      // },
      radar: {
        indicator: [
          { name: 'AQI', max: 300 },
          { name: 'PM2.5', max: 250 },
          { name: 'PM10', max: 300 },
          { name: 'CO', max: 5 },
          { name: 'NO2', max: 200 },
          { name: 'SO2', max: 100 }
        ],
        shape: 'circle',
        splitNumber: 5,
        name: {
          textStyle: {
            color: 'rgb(238, 197, 102)'
          }
        },
        splitLine: {
          lineStyle: {
            color: [
              'rgba(238, 197, 102, 0.1)', 'rgba(238, 197, 102, 0.2)',
              'rgba(238, 197, 102, 0.4)', 'rgba(238, 197, 102, 0.6)',
              'rgba(238, 197, 102, 0.8)', 'rgba(238, 197, 102, 1)'
            ].reverse()
          }
        },
        splitArea: {
          show: false
        },
        axisLine: {
          lineStyle: {
            color: 'rgba(238, 197, 102, 0.5)'
          }
        }
      },
      series: [
        {
          name: '北京',
          type: 'radar',
          lineStyle: lineStyle,
          data: dataBJ,
          symbol: 'none',
          itemStyle: {
            color: '#F9713C'
          },
          areaStyle: {
            opacity: 0.1
          }
        },
        {
          name: '上海',
          type: 'radar',
          lineStyle: lineStyle,
          data: dataSH,
          symbol: 'none',
          itemStyle: {
            color: '#B3E4A1'
          },
          areaStyle: {
            opacity: 0.05
          }
        },
        {
          name: '广州',
          type: 'radar',
          lineStyle: lineStyle,
          data: dataGZ,
          symbol: 'none',
          itemStyle: {
            color: 'rgb(238, 197, 102)'
          },
          areaStyle: {
            opacity: 0.05
          }
        }
      ]
    })
  }
  initxian = () => {
    const chartxian = echarts.init(this.chartDom3.current);
    var dataBJ = [
      [1, 55, 9, 56, 0.46, 18, 6, "良"],
      [2, 25, 11, 21, 0.65, 34, 9, "优"],
      [3, 56, 7, 63, 0.3, 14, 5, "良"],
      [4, 33, 7, 29, 0.33, 16, 6, "优"],
      [5, 42, 24, 44, 0.76, 40, 16, "优"],
      [6, 82, 58, 90, 1.77, 68, 33, "良"],
      [7, 74, 49, 77, 1.46, 48, 27, "良"],
      [8, 78, 55, 80, 1.29, 59, 29, "良"],
      [9, 267, 216, 280, 4.8, 108, 64, "重度污染"],
      [10, 185, 127, 216, 2.52, 61, 27, "中度污染"],
      [11, 39, 19, 38, 0.57, 31, 15, "优"],
      [12, 41, 11, 40, 0.43, 21, 7, "优"],
      [13, 64, 38, 74, 1.04, 46, 22, "良"],
      [14, 108, 79, 120, 1.7, 75, 41, "轻度污染"],
      [15, 108, 63, 116, 1.48, 44, 26, "轻度污染"],
      [16, 33, 6, 29, 0.34, 13, 5, "优"],
      [17, 94, 66, 110, 1.54, 62, 31, "良"],
      [18, 186, 142, 192, 3.88, 93, 79, "中度污染"],
      [19, 57, 31, 54, 0.96, 32, 14, "良"],
      [20, 22, 8, 17, 0.48, 23, 10, "优"],
      [21, 39, 15, 36, 0.61, 29, 13, "优"],
      [22, 94, 69, 114, 2.08, 73, 39, "良"],
      [23, 99, 73, 110, 2.43, 76, 48, "良"],
      [24, 31, 12, 30, 0.5, 32, 16, "优"],
      [25, 42, 27, 43, 1, 53, 22, "优"],
      [26, 154, 117, 157, 3.05, 92, 58, "中度污染"],
      [27, 234, 185, 230, 4.09, 123, 69, "重度污染"],
      [28, 160, 120, 186, 2.77, 91, 50, "中度污染"],
      [29, 134, 96, 165, 2.76, 83, 41, "轻度污染"],
      [30, 52, 24, 60, 1.03, 50, 21, "良"],
      [31, 46, 5, 49, 0.28, 10, 6, "优"]
    ];

    var dataGZ = [
      [1, 26, 37, 27, 1.163, 27, 13, "优"],
      [2, 85, 62, 71, 1.195, 60, 8, "良"],
      [3, 78, 38, 74, 1.363, 37, 7, "良"],
      [4, 21, 21, 36, 0.634, 40, 9, "优"],
      [5, 41, 42, 46, 0.915, 81, 13, "优"],
      [6, 56, 52, 69, 1.067, 92, 16, "良"],
      [7, 64, 30, 28, 0.924, 51, 2, "良"],
      [8, 55, 48, 74, 1.236, 75, 26, "良"],
      [9, 76, 85, 113, 1.237, 114, 27, "良"],
      [10, 91, 81, 104, 1.041, 56, 40, "良"],
      [11, 84, 39, 60, 0.964, 25, 11, "良"],
      [12, 64, 51, 101, 0.862, 58, 23, "良"],
      [13, 70, 69, 120, 1.198, 65, 36, "良"],
      [14, 77, 105, 178, 2.549, 64, 16, "良"],
      [15, 109, 68, 87, 0.996, 74, 29, "轻度污染"],
      [16, 73, 68, 97, 0.905, 51, 34, "良"],
      [17, 54, 27, 47, 0.592, 53, 12, "良"],
      [18, 51, 61, 97, 0.811, 65, 19, "良"],
      [19, 91, 71, 121, 1.374, 43, 18, "良"],
      [20, 73, 102, 182, 2.787, 44, 19, "良"],
      [21, 73, 50, 76, 0.717, 31, 20, "良"],
      [22, 84, 94, 140, 2.238, 68, 18, "良"],
      [23, 93, 77, 104, 1.165, 53, 7, "良"],
      [24, 99, 130, 227, 3.97, 55, 15, "良"],
      [25, 146, 84, 139, 1.094, 40, 17, "轻度污染"],
      [26, 113, 108, 137, 1.481, 48, 15, "轻度污染"],
      [27, 81, 48, 62, 1.619, 26, 3, "良"],
      [28, 56, 48, 68, 1.336, 37, 9, "良"],
      [29, 82, 92, 174, 3.29, 0, 13, "良"],
      [30, 106, 116, 188, 3.628, 101, 16, "轻度污染"],
      [31, 118, 50, 0, 1.383, 76, 11, "轻度污染"]
    ];

    var dataSH = [
      [1, 91, 45, 125, 0.82, 34, 23, "良"],
      [2, 65, 27, 78, 0.86, 45, 29, "良"],
      [3, 83, 60, 84, 1.09, 73, 27, "良"],
      [4, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
      [5, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
      [6, 109, 81, 121, 1.28, 68, 51, "轻度污染"],
      [7, 106, 77, 114, 1.07, 55, 51, "轻度污染"],
      [8, 89, 65, 78, 0.86, 51, 26, "良"],
      [9, 53, 33, 47, 0.64, 50, 17, "良"],
      [10, 80, 55, 80, 1.01, 75, 24, "良"],
      [11, 117, 81, 124, 1.03, 45, 24, "轻度污染"],
      [12, 99, 71, 142, 1.1, 62, 42, "良"],
      [13, 95, 69, 130, 1.28, 74, 50, "良"],
      [14, 116, 87, 131, 1.47, 84, 40, "轻度污染"],
      [15, 108, 80, 121, 1.3, 85, 37, "轻度污染"],
      [16, 134, 83, 167, 1.16, 57, 43, "轻度污染"],
      [17, 79, 43, 107, 1.05, 59, 37, "良"],
      [18, 71, 46, 89, 0.86, 64, 25, "良"],
      [19, 97, 71, 113, 1.17, 88, 31, "良"],
      [20, 84, 57, 91, 0.85, 55, 31, "良"],
      [21, 87, 63, 101, 0.9, 56, 41, "良"],
      [22, 104, 77, 119, 1.09, 73, 48, "轻度污染"],
      [23, 87, 62, 100, 1, 72, 28, "良"],
      [24, 168, 128, 172, 1.49, 97, 56, "中度污染"],
      [25, 65, 45, 51, 0.74, 39, 17, "良"],
      [26, 39, 24, 38, 0.61, 47, 17, "优"],
      [27, 39, 24, 39, 0.59, 50, 19, "优"],
      [28, 93, 68, 96, 1.05, 79, 29, "良"],
      [29, 188, 143, 197, 1.66, 99, 51, "中度污染"],
      [30, 174, 131, 174, 1.55, 108, 50, "中度污染"],
      [31, 187, 143, 201, 1.39, 89, 53, "中度污染"]
    ];

    var schema = [
      { name: 'date', index: 0, text: '日期' },
      { name: 'AQIindex', index: 1, text: 'AQI' },
      { name: 'PM25', index: 2, text: 'PM2.5' },
      { name: 'PM10', index: 3, text: 'PM10' },
      { name: 'CO', index: 4, text: ' CO' },
      { name: 'NO2', index: 5, text: 'NO2' },
      { name: 'SO2', index: 6, text: 'SO2' },
      { name: '等级', index: 7, text: '等级' }
    ];

    var lineStyle = {
      normal: {
        width: 1,
        opacity: 0.5
      }
    };
    chartxian.setOption({
      backgroundColor: '#333',
      legend: {
        bottom: 30,
        data: ['北京', '上海', '广州'],
        itemGap: 20,
        textStyle: {
          color: '#fff',
          fontSize: 14
        }
      },
      tooltip: {
        padding: 10,
        backgroundColor: '#222',
        borderColor: '#777',
        borderWidth: 1
      },
      // dataZoom: {
      //     show: true,
      //     orient: 'vertical',
      //     parallelAxisIndex: [0]
      // },
      parallelAxis: [
        { dim: 0, name: schema[0].text, inverse: true, max: 31, nameLocation: 'start' },
        { dim: 1, name: schema[1].text },
        { dim: 2, name: schema[2].text },
        { dim: 3, name: schema[3].text },
        { dim: 4, name: schema[4].text },
        { dim: 5, name: schema[5].text },
        { dim: 6, name: schema[6].text },
        {
          dim: 7, name: schema[7].text,
          type: 'category', data: ['优', '良', '轻度污染', '中度污染', '重度污染', '严重污染']
        }
      ],
      visualMap: {
        show: true,
        min: 0,
        max: 150,
        dimension: 2,
        inRange: {
          color: ['#d94e5d', '#eac736', '#50a3ba'].reverse(),
          // colorAlpha: [0, 1]
        }
      },
      parallel: {
        left: '5%',
        right: '18%',
        bottom: 100,
        parallelAxisDefault: {
          type: 'value',
          name: 'AQI指数',
          nameLocation: 'end',
          nameGap: 20,
          nameTextStyle: {
            color: '#fff',
            fontSize: 12
          },
          axisLine: {
            lineStyle: {
              color: '#aaa'
            }
          },
          axisTick: {
            lineStyle: {
              color: '#777'
            }
          },
          splitLine: {
            show: false
          },
          axisLabel: {
            color: '#fff'
          }
        }
      },
      series: [
        {
          name: '北京',
          type: 'parallel',
          lineStyle: lineStyle,
          data: dataBJ
        },
        {
          name: '上海',
          type: 'parallel',
          lineStyle: lineStyle,
          data: dataSH
        },
        {
          name: '广州',
          type: 'parallel',
          lineStyle: lineStyle,
          data: dataGZ
        }
      ]
    })
  }
}
